A user’s wish list for extracting more value from FIA data

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A user’s wish list for extracting more value from FIA data. Steve Prisley Virginia Tech. Context: Current projects. Resource Assessment Center: Modeling wood supply with FIA/RS Identifying the “working forest ” TPO and consumption proximity zones EPA Carbon neutrality of biomass - PowerPoint PPT Presentation

Text of A user’s wish list for extracting more value from FIA data

A users wish list for extracting more value from FIA data

A users wish list for extracting more value from FIA dataSteve PrisleyVirginia Tech

Context: Current projectsResource Assessment Center:Modeling wood supply with FIA/RS Identifying the working forestTPO and consumption proximity zonesEPA Carbon neutrality of biomassIdentifying the working forestG:R by region for working forestNTFPs and FIA (Chamberlain, USFS)Nitrogen deposition and FIA plot productivity (Thomas, EPA$)FIA legacy data Q&R (Smith, USFS)NTFPs and FIASponsored by SRS/Jim ChamberlainWhat can FIA data tell us about the sustainability of NTFP extraction?Geographic distributionNumbers of trees and volume (bark surface area)Trends over timeChallenge: combining data across states

Nitrogen deposition & FIASponsor: EPA/Dr. Quinn Thomas, VTExtract tree increment measurements from undisturbed plots to correlate w/ N depChallenge: selecting undisturbed plots and matching tree measurements from successive measurementsModeling wood supplySponsors: CeNRADS (20+ corporations, NGOs)Developing agent-based models to simulate the wood supply chainUsing FIA and RS for initial inventory (as sub-county level)Using FIA and TPO for mill demandsChallenge: downscaling FIA to smaller units, understanding mill demandsIdentifying the working forestSponsor: EPA, CeNRADS partnersUse FIA removals (and state harvest notification records) to identify characteristics of forests that have experience harvestingChallenges:Some potentially important variables masked (landowner classes, distances)

EPA and carbon neutralitySponsor: EPA and ICF/RTIUsing regional growth/drain estimates to document replacement for biomass C emissionsChallenges:Identifying the working forestLack of G/R data in the westCombining data across states

FIA legacy dataSponsor: FIA/SRS (Smith, Coulston)Build prototype of searchable online database for delivery of standard reports of aggregates of states at any time since surveys were available.Challenge: historical inconsistencies in FIATPO and consumption proximitySponsor: CeNRADS partnersFor classes of mills (e.g., small sawmills, large sawmills, paper mills, etc.), determine average proportion of supply that comes from distance zones around millsChallenge: confidentiality of survey data

Challenge: Multi-state analysesFIADB in Access:Excellent tool, good reporting capabilityLimited in size (by Access)For analyses of large areas:Use EvalidatorWhat about when its down?Use D-I-Y reporting in another DBMSHow about an R package to ingest FIA data and produce standard reports?

Web tool enhancementsEvalidator- powerful tool, tremendous flexibilityBut tedious for repetitive tasks involving detailed lists of states, complex filtersSave queries or criteria? (E.g., list of states, screening criteria- show the entire select statement to copy/paste?)

Data EnhancementsSince FIA cant deliver detailed ownership at the plot level, they need to do more analysis relating inventory, growth, and removals by ownership classDevelop summaries by detailed owner class over FIA unitsE.g., acres, harvest, growth, mortality, GS volume, etc., over detailed private ownership classes

Data EnhancementsTPO mill locations- need more accuracyLarge disparities between TPO and proprietary productsShould USFS/FIA be the go to place for wood utilization data?Example: Morgan Lumber Company

TPO Mill LocationGoogle Maps LocationUGA WDRP Location

Google Maps LocationUGA WDRP LocationAnalysis enhancementsAdvanced analysis FAQs? Analysis Wiki?Tricks and tips for connecting plots over timeTricks and tips for connecting trees over timeFinding plot disturbancesExplaining the head-scratchersInclude accuracy information

Virginia Forest Acres, 2006Include accuracy information

But: Use the error matrix published by Wickham et al. (2013) to correct area estimates based on misclassification rates, thenVirginia Forest Acres, 2006

FIA Accuracy standard: 3%?Virginia Forest Acres, 2006Program enhancementsAbility to conduct rapid update of likely disturbed plotsMany RS products focused on rapid identification of change/disturbance (e.g., VCT)Develop approach for estimation for annual updates:Disturbed plots/lost volume; prob(disturbance)?Grow plots?Sounds like AFIS